「checkpoint」の検索結果

Execute implementation plans in batches with review checkpoints

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Screen a hypercalcemic patient for medication- and supplement-induced causes — thiazides, lithium, vitamin D, vitamin A/retinoids, antiestrogens, theophylline, milk-alkali, SGLT2 inhibitors, immune checkpoint inhibitors, denosumab rebound, teriparatide/abaloparatide, foscarnet, ketogenic diet, aluminium. Trigger when a clinician asks "is this hypercalcemia drug-induced", "thiazide hypercalcemia", "lithium hypercalcemia", "denosumab rebound hypercalcemia", "vitamin D toxicity", "milk-alkali syndrome", "SGLT2 hypercalcemia", or any new hypercalcemia where medication review is needed.

日本語の概要は準備中です。原文の説明を表示しています。

Use when you have a written implementation plan to execute in a separate session with review checkpoints

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Mint a new YYYY-MM-DD-exact-coding-baseline snapshot under research/workflow-dev/export/. Detects the current best correctness- oriented workflow from research/workflow-dev/workflow-construction.md (or takes an explicit source-workflow argument) and transforms it from a lab workflow into a consumer-ready one on three axes: strips lab-only measurement content, re-enables human-in-the-loop checkpoints, and converts auto-loading config into an explicitly-invoked skill. Supports both promoted EXACT Coding lines: Opus/Hybrid and SOL/Predictive TDD. Exports Claude Code, pi, OpenCode, cursor-agent and, for SOL, Copilot. Trigger when the user says "exact-coding baseline export", "neue exact-coding baseline", "exact-coding-baseline-export", or asks to refresh the baseline snapshot.

日本語の概要は準備中です。原文の説明を表示しています。

Use when you have a written implementation plan to execute in a separate session with review checkpoints

日本語の概要は準備中です。原文の説明を表示しています。

Periodically inspect a sprint manager and worker sessions against a sprint spec, classify progress, nudge only for real stalls, and always append a checkpoint log beside the sprint file.

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Sistema autônomo multi-agente para startups em Claude Code. Ativado com "Loki Mode". Orquestra 100+ agentes especializados em engenharia, QA, DevOps, segurança, dados/ML, operações comerciais, marketing, RH e sucesso do cliente. Vai de PRD para produto totalmente implantado e gerando receita com zero intervenção humana. Inclui ferramenta Task para despacho de subagentes, revisão de código paralela com 3 revisores especializados, triagem de problemas baseada em severidade, fila de tarefas distribuída com tratamento de dead letter, implantação automática em provedores de nuvem, testes A/B, loops de feedback de clientes, resposta a incidentes, circuit breakers e auto-recuperação. Gerencia limites de taxa via checkpoints de estado distribuído e retomada automática com backoff exponencial. Requer flag --dangerously-skip-permissions.

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Fornece treinamento distribuído de LLM nativo do PyTorch usando torchtitan com paralelismo 4D (FSDP2, TP, PP, CP). Use para fazer pré-treinamento de Llama 3.1, DeepSeek V3 ou modelos customizados em escala de 8 a 512+ GPUs com Float8, torch.compile e checkpoint distribuído.

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Expert em LangGraph - o framework de nível produção para construir aplicações de IA com múltiplos atores e estado. Aborda construção de grafos, gerenciamento de estado, ciclos e ramificações, persistência com checkpointers, padrões human-in-the-loop e o padrão ReAct. Usado em produção no LinkedIn, Uber e 400+ empresas. Esta é a abordagem recomendada pelo LangChain para construir agentes. Use quando: langgraph, langchain agent, stateful agent, agent graph, react agent.

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Conversão pixel-perfeita de Figma para React usando coderio. Gera código pronto para produção (TypeScript, Vite, TailwindCSS V4) com alta fidelidade visual. Inclui tratamento robusto de erros, recuperação de checkpoints e execução simplificada via script auxiliar.

日本語の概要は準備中です。原文の説明を表示しています。

[Utilities] Use when you need to restore workflow context from checkpoint after session loss.

日本語の概要は準備中です。原文の説明を表示しています。

[Utilities] Use when saving or recovering task progress across sessions via file checkpoints — especially before context compaction.

日本語の概要は準備中です。原文の説明を表示しています。

Use when you have a written implementation plan to execute in a separate session with review checkpoints

日本語の概要は準備中です。原文の説明を表示しています。

Runnable driver for the deterministic campaign-execution protocol — the automaton that takes a validated campaign DAG to a correctly merged branch. Trigger when: - A campaign has a validated DAG + worker IBCs and the composer (or a cheap-tier runner) must DRIVE dispatch ⇄ reconcile as a loop rather than by hand. - Resuming a partially-executed campaign from its git history + sketch checkpoint after a halt or crash. - Prompt contains: /orchestrate, orchestration, drive the DAG, run the campaign, layer schedule, reconcile-and-merge, resume campaign.

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Turn a proven POC into a real, crouton-native, documented package(s) + a consuming app — the deliberate "step back and rebuild" checkpoint. SPEC-DRIVEN — the POC discovers a behaviour spec (captured at each sign-off), graduation freezes it as authoritative, the app is rebuilt the crouton way to satisfy it, and nothing is done until it's checked + signed off against two gates (experience + crouton-conformance). Use when a `pocs/*` app is proven and "done", or asked to "graduate this poc", "make it a real app", "extract the package".

日本語の概要は準備中です。原文の説明を表示しています。

Use for complex coding requests that need a structured implementation plan with dependencies, checkpoints, and verification criteria.

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Advisory checkpoint for deciding whether planning-document edits should be split into a separate planning branch/PR. Use only when the user explicitly asks where to commit `memory/SPEC.md` or `memory/PLAN.md` changes, mentions planning-doc merge conflicts, asks for a planning PR, or instructs you to prepare/submit one. Do not trigger for ordinary ln-* planning edits, one-line status updates, or routine canonical reconciliation.

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Providerneutrale Operator- und Teamleader-Rolle für komplexe, länger laufende oder planbasierte Vorhaben. Verwenden bei `$operator`, `/operator`, "übernimm als Operator" oder "arbeite den Plan weiter ab", um den nächsten substanziellen Planschritt zu wählen, unabhängige Arbeitspakete kontrolliert zu delegieren und Ergebnisse evidenzbasiert abzunehmen und zu integrieren.

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Providerneutrales Protokoll zum Zerlegen komplexer Aufgaben, zum Beauftragen unabhängiger Worker und zur evidenzbasierten Abnahme ihrer Ergebnisse.

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Prepares the contents of a dated backup of a custom skills folder and drafts a session journal entry, both for the user to save, so work can be resumed after a crash, a context loss or a skills wipe. Returns the copy action list, backup manifest, journal entry, resume summary and a restore plan whose steps the user confirms one by one and carries out. Use when the user asks to "back up my skills folder", "checkpoint this session", "write the session journal", "where did we leave off last time", "restore my skills from the last backup" or "take a safety copy before I edit this skill". Do not use for holding individual file changes for approval during ordinary work, use no-delete-guardrail instead. Drafts for human review; never approves, authorises or signs off.

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Produces a DRAFT 30-60-90 day onboarding plan for a new hire from the role, the team context and the systems list: phase outcomes traced to the role, activities with a named owner and due window, an access and equipment request table, learning items, manager checkpoints and the items the manager must confirm. Use when the user asks to "build an onboarding plan for our new hire", "draft the induction plan for this role", "write a first 90 days plan", "put together a new starter plan with owners", "create a ramp plan from this job description" or "plan the integration of an internal mover". Do not use for writing the job description itself, use job-description-drafter instead; for interview questions or a scorecard, use interview-scorecard-builder. Drafts for human review; never approves, authorises or signs off.

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Build an Anima LoRA from a single-character or style name, from Danbooru collection through curation, section-ordered WD14 captions, dataset checks, confirmed training, fixed-seed checkpoint validation, and a staged Civitai draft. Use for requests such as make a LoRA of X, collect images and train a character LoRA, train and upload to Civitai, or build a dataset from scratch and publish. Delegate training to lora-trainer and structural checks to dataset-doctor; never train without confirmation and never auto-publish.

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Get a second opinion from an external LLM at three checkpoints: T1 is the plan valid, T2 which path at a fork, T3 finish plus a QA breaker that tries to break the result. One structured move per exchange (PROPOSE, COUNTER, VERIFY, ACCEPT, BLOCK) with memory across turns, and every exchange mirrored into a human-visible channel. Supports a multi-vendor panel instead of a single reviewer. Triggers: "/secondop", "get a second opinion", "run the review panel".

日本語の概要は準備中です。原文の説明を表示しています。

Azure Event Hubs SDK for Python streaming. Use for high-throughput event ingestion, producers, consumers, and checkpointing.

日本語の概要は準備中です。原文の説明を表示しています。